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https://www.researchgate.net/publication/228653202_Off-line_signature_verification_and_recognition_by_Support_Vector_Machine
In this paper we present a novel and efficient approach for off-line signature verification and identification using Support Vector Machine. The global, directional and grid features of the ...
https://www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr2010.pdf
In this paper we present an off-line signature verification and recognition system using the global, directional and grid fea-tures of signatures. Support Vector Machine (SVM) was used to verify and classify the signatures and a classification ratio of 0.95 was obtained. As the recognition …
https://ieeexplore.ieee.org/document/7078479/
Abstract: In this paper we present an off-line signature verification and recognition system using the global, directional and grid fea-tures of signatures. Support Vector Machine (SVM) was used to verify and classify the signatures and a classification ratio of 0.95 was obtained. As the recognition of signatures repre-sents a multiclass problem SVM's one-against-all method was used.
https://www.academia.edu/970495/Off-line_signature_verification_and_recognition_by_support_vector_machine
Off-line signature verification and recognition by support vector machine
https://www.youtube.com/watch?v=Bn2e-DaSbl0
Jan 03, 2014 · OFFLINE SIGNATURE RECOGNITION AND VERIFICATION USING SVM ... Offline Signature Recognition using Radon Transform ] ( will get 35 features) ... For verification use Support Vector Machine(SVM) as a ...Author: VERILOG COURSE TEAM
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.8787
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we present an off-line signature verification and recognition system using the global, directional and grid features of signatures. Support Vector Machine (SVM) was used to verify and classify the signatures and a classification ratio of 0.95 was obtained.
https://www.researchgate.net/publication/228653202_Off-line_signature_verification_and_recognition_by_Support_Vector_Machine
In this paper we present a novel and efficient approach for off-line signature verification and identification using Support Vector Machine. The global, directional and grid features of the ...
https://www.eurasip.org/Proceedings/Eusipco/Eusipco2005/defevent/papers/cr2010.pdf
In this paper we present an off-line signature verification and recognition system using the global, directional and grid fea-tures of signatures. Support Vector Machine (SVM) was used to verify and classify the signatures and a classification ratio of 0.95 was obtained. As the recognition …
https://ieeexplore.ieee.org/document/7078479/
Abstract: In this paper we present an off-line signature verification and recognition system using the global, directional and grid fea-tures of signatures. Support Vector Machine (SVM) was used to verify and classify the signatures and a classification ratio of 0.95 was obtained. As the recognition of signatures repre-sents a multiclass problem SVM's one-against-all method was used.
https://www.semanticscholar.org/paper/Offline-handwritten-signature-identification-and-Pourshahabi-Sigari/eabfac9e1ac4e86376aed6898d5fd971387cb281
In this paper, a new method for signature identification and verification based on contourlet transform (CT) is proposed. This method uses contourlet coefficient as the feature extractor and Support Vector Machine (SVM) as the classifier. In proposed method, first signature image is normalized based on size. After preprocessing, contourlet coefficients are computed on specified scale and ...
https://www.youtube.com/watch?v=Bn2e-DaSbl0
Jan 03, 2014 · OFFLINE SIGNATURE RECOGNITION AND VERIFICATION USING SVM ... Offline Signature Recognition using Radon Transform ] ( will get 35 features) ... For verification use Support Vector Machine(SVM) as a ...Author: VERILOG COURSE TEAM
https://www.researchgate.net/publication/261959772_Offline_Signature_Verification_Using_Support_Vector_Machine
Kruthi.C, Deepika.C.Shet [3] applied Support Vector Machine (SVM) using different kernel functions and Sequential Minimal Optimization (SMO) for Offline Signature Verification. Binarization ...
https://github.com/damayant/Offline-Signature-Verification-Using-Machine-Learning-
This project evaluates an efficient approach for Offline Signature Verification using Machine Learning techniques. The proposed algorithm able to identify the original signature and forgery signatures in a skilled way. First going through the preprocessing phase the signature is made noise free and the region of interest portion of the signature is get selected.
https://www.sciencedirect.com/science/article/pii/S2212017313006075
Ferrer et al. calculates geometric features of a signature in fixed-point arithmetic for offline verification. The proposed features are then checked with different classifiers, such as Hidden Markov Models, Support Vector Machines etc. [13]. A novel approach to off-line signature verification …Cited by: 23
https://ieeexplore.ieee.org/document/5941179/
Oct 28, 2010 · Abstract: In this paper, a new method for signature identification and verification based on contourlet transform (CT) is proposed. This method uses contourlet coefficient as the feature extractor and Support Vector Machine (SVM) as the classifier. In proposed method, first signature image is normalized based on size.
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